Triple
T13210907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Scrubs |
E314486
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | FanMail |
E625137
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: FanMail | Statement: [No Scrubs, album, FanMail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FanMail Context triple: [No Scrubs, album, FanMail]
-
A.
FanMail
chosen
FanMail is a Grammy-winning R&B and hip hop album by American girl group TLC, noted for its futuristic production, themes about technology and fame, and hit singles like "No Scrubs" and "Unpretty."
-
B.
FanCode
FanCode is an Indian digital sports platform offering live streaming, scores, and content for a wide range of sports and leagues.
-
C.
FanMail (1999)
FanMail (1999) is the third studio album by American R&B group TLC, noted for its futuristic production, exploration of digital-age themes, and hit singles like "No Scrubs" and "Unpretty."
-
D.
Fan Hir
Fan Hir is a long, narrow ridge and mountain in the Brecon Beacons of South Wales, popular with hikers for its dramatic escarpments and expansive views.
-
E.
FAN
FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f6136270819093256a143d2c9e65 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.